ArticleDigital health
Quality and reliability of myasthenia gravis-related short videos on TikTok and Bilibili: A cross-sectional study.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Evaluating the content quality and trustworthiness of snakebite envenomation videos on social media platforms: insights from TikTok and Bilibili.Tropical medicine and health · 2026Article
- Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: TikTok and Bilibili have gradually become important platforms for the public to access health information. This study aims to evaluate the quality and reliability of MG-related videos on these platforms. Methods: This study collected the top 150 MG-related videos from both platforms. General characteristics, uploader identity, and engagement metrics were extracted. The Global Quality Score (GQS) and modified DISCERN (mDISCERN) were used to evaluate video quality and reliability. Mann-Whitney U-test and Kruskal-Wallis H-test were used for inter-group comparisons, and Spearman's rank correlation analysis was performed to assess correlations. Results: A total of 225 videos were included in this study. The content of the videos predominantly focused on symptoms (63.6%) and treatment (49.3%), while diagnosis (25.3%) and prevention (13.3%) were less represented. The median GQS for TikTok was 3 (2-3), and the median mDISCERN was 2 (2-3). For Bilibili, the median GQS was 2 (1-3), and the median mDISCERN was 2 (2-2). Videos uploaded by specialists were of higher quality and reliability compared to those uploaded by individual users ( Conclusion: MG-related videos on both platforms have incomplete content structures, with low quality and reliability. Videos uploaded by specialists were of higher quality and reliability compared to those uploaded by individual users. Engagement metrics showed weak correlations with video quality and reliability. Future platforms should strengthen content moderation and professional involvement to improve the quality of digital health education.
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